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Azure Databricks Engineer
Ashburn, VA
Ashburn
VA
20147
Date
: May-08-25
2025-05-08
2026-05-08
Azure Databricks Engineer
Ashburn, VA
May-08-25
Work Authorization
US Citizen
GC
H1B
GC EAD, TN EAD, H4 EAD, L2 EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Midlevel
Rate/Salary ($)
:
Market
Duration
:
12 Months
Sp. Area
:
Cloud, Salesforce, SaaS
Sp. Skills
:
Windows Azure
Consulting / Contract
H1B OK
Third Party OK
CONTRACTOR
Required Skills
:
Windows Azure, Continuous deployment, Spark, API, Cluster, Deployment, DevOps, ETL, Security
Preferred Skills
:
Domain
:
IT/Software, HealthCare, Pharmaceuticals
Work Authorization
US Citizen
GC
GC EAD, TN EAD, H4 EAD, L2 EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Midlevel
Rate/Salary ($)
:
Market
Duration
:
12 Months
Sp. Area
:
Cloud, Salesforce, SaaS
Sp. Skills
:
Windows Azure
Consulting / Contract
H1B OK
Third Party OK
CONTRACTOR
Required Skills
:
Windows Azure, Continuous deployment, Spark, API, Cluster, Deployment, DevOps, ETL, Security
Preferred Skills
:
Domain
:
IT/Software, HealthCare, Pharmaceuticals
Spk Technologies inc
Livermore, CA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
PositionID
: 64002533
Client
: Gainwell Technologies
Position
: Azure Databricks Engineer
Responsibilities
:
Data pipeline Development: Design, develop, and maintain scalable data pipelines and ETL processes using Azure Databricks, Azure Data Factory, and other Azure services.
Data Processing: Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks.
Integration: Integrate data from various sources, such as databases, APIs, and streaming data, into the Databricks environment, often using tools like Azure Data Factory or Databricks Workflows.
Performance Optimization: Enhance the performance of data processing tasks by optimizing Spark jobs, managing cluster resources, and implementing best practices for data storage and retrieval.
Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the solutions meet business needs.
Data Governance: Implement data governance policies and ensure data security and compliance with relevant regulations.
CI/CD Integration: Utilize Azure DevOps and CI/CD best practices to automate the deployment and management of data pipelines and infrastructure.
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